Name
Abstract | ||
|---|---|---|
This paper investigates compression of sign-language video sequences for transmission over low bitrate channels. The motion of hands and arms inherent in sign language requires high temporal resolution and greater compression for band- limited channels. Most existing compression schemes treat the entire image uniformly. However, the background is much less critical than the foreground for sign language communication. A new algorithm is developed that gives priority to the foreground and sacrifices the quality of the background to achieve higher co mpression rates and higher foreground quality without compromising the frame rate. The algorithm is extended to use a dynamic region of interest defined by face and hand loc ation. Results show that the frame rate and quality of the region of interest are higher than with uniform algorithms. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/MMSP.1997.602689 | Princeton, NJ |
Keywords | Field | DocType |
feature extraction,handicapped aids,image sequences,teleconferencing,video coding,band-limited channels,frame rate,high temporal resolution,low bitrate channels,region of interest priority coding,sign language videoconferencing,sign-language video sequences | Computer vision,Teleconference,Computer science,Communication channel,Coding (social sciences),Feature extraction,Speech recognition,Sign language,Artificial intelligence,Frame rate,Region of interest,Videoconferencing | Conference |
ISBN | Citations | PageRank |
0-7803-3780-8 | 10 | 1.13 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard P. Schumeyer | 1 | 10 | 1.13 |
| Edwin A. Heredia | 2 | 10 | 1.13 |
| Kenneth E Barner | 3 | 354 | 39.58 |